Man pages for forestRK
Implements the Forest-R.K. Algorithm for Classification Problems
| bstrap | Performs bootstrap sampling of the (training) dataset |
| construct.treeRK | Constructs a classification tree on the (training) dataset,... |
| criteria.after.split.calculator | Calculates Entropy or Gini Index of a node after a given... |
| criteria.calculator | Calculates Entropy or Gini Index of a particular node before... |
| cutoff.node.and.covariate.index.finder | Identifies optimal cutoff point of an impure node for... |
| draw.treeRK | Creates a 'igraph' plot of a 'rktree' |
| ends.index.finder | Identifies numerical indices of the end nodes of a 'rktree'... |
| forestRK | Builds up a random forest RK model based on the given... |
| get.tree.forestRK | Extracts the structure of one or more trees in a forestRK... |
| importance.forestRK | Calculates Gini Importance or Mean Decrease Impurity (same... |
| importance.plot.forestRK | Generates importance 'ggplot' of the covariates considered in... |
| mds.plot.forestRK | Makes 2D MDS (multidimensional scaling) 'ggplot' of the test... |
| pred.forestRK | Make predictions on the test data based on the forestRK model... |
| pred.treeRK | Make predictions on the test observations based on a rktree... |
| var.used.forestRK | Extract the list of covariates used to perform the splits to... |
| x.organizer | Numericizing a data frame of covariates from the original... |
| y.organizer | Numericize the vector containing categorical class type('y')... |
